A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data

20 November 2018

Papers citing "A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data"

50 / 159 papers shown

Title
A Survey of Time Series Anomaly Detection Methods in the AIOps Domain Zhenyu Zhong Qiliang Fan Jiacheng Zhang Minghua Ma Shenglin Zhang Yongqian Sun Qingwei Lin Yuzhi Zhang Dan Pei AI4TS 31 6 0 01 Aug 2023
RoSAS: Deep Semi-Supervised Anomaly Detection with Contamination-Resilient Continuous Supervision Hongzuo Xu Yijie Wang Guansong Pang Songlei Jian Ninghui Liu Yongjun Wang 18 25 0 25 Jul 2023
Correlation-aware Spatial-Temporal Graph Learning for Multivariate Time-series Anomaly Detection Yu Zheng Huan Yee Koh Ming Jin Lianhua Chi Khoa T. Phan Shirui Pan Yi-Ping Phoebe Chen Wei Xiang AI4TS 26 25 0 17 Jul 2023
ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection Yuhang Chen C. Zhang Minghua Ma Yudong Liu Ruomeng Ding Bo-wen Li Shilin He Saravan Rajmohan Qingwei Lin Dongmei Zhang DiffM 33 47 0 03 Jul 2023
Cloud-Native Computing: A Survey from the Perspective of Services Shuiguang Deng Hailiang Zhao Binbin Huang Cheng Zhang Feiyi Chen Yinuo Deng Jianwei Yin Schahram Dustdar Albert Y. Zomaya AI4TS 39 18 0 26 Jun 2023
Coupled Attention Networks for Multivariate Time Series Anomaly Detection Feng Xia Xin Chen Shuo Yu Mingliang Hou Mujie Liu Linlin You AI4TS 27 15 0 12 Jun 2023
AlerTiger: Deep Learning for AI Model Health Monitoring at LinkedIn Zhentao Xu Ruoying Wang G.N. Balaji Manas Bundele Xiaofei Liu L. Liu Tie Wang VLM 14 4 0 03 Jun 2023
CyPhERS: A Cyber-Physical Event Reasoning System providing real-time situational awareness for attack and fault response Nils Müller Kaibin Bao Jörg Matthes K. Heussen 33 5 0 26 May 2023
AD-NEV: A Scalable Multi-level Neuroevolution Framework for Multivariate Anomaly Detection Marcin Pietroñ Dominik Zurek Kamil Faber Roberto Corizzo 30 3 0 25 May 2023
Explainable Parallel RCNN with Novel Feature Representation for Time Series Forecasting Jimeng Shi Rukmangadh Myana Vitalii Stebliankin Azam Shirali Giri Narasimhan AI4TS 30 6 0 08 May 2023
AnomalyBERT: Self-Supervised Transformer for Time Series Anomaly Detection using Data Degradation Scheme Yungi Jeong Eu-Hui Yang Jung Hyun Ryu Imseong Park Myung-joo Kang ViT AI4TS 20 28 0 08 May 2023
Anomaly Detection in Aeronautics Data with Quantum-compatible Discrete Deep Generative Model T. Templin Milad Memarzadeh W. Vinci P. A. Lott A. A. Asanjan Anthony Alexiades Armenakas E. Rieffel DRL 24 5 0 22 Mar 2023
Spacecraft Anomaly Detection with Attention Temporal Convolution Network Liang Liu Ling Tian Zhao Kang Tianqi Wan AI4TS 38 28 0 13 Mar 2023
Deep Anomaly Detection on Tennessee Eastman Process Data Fabian Hartung Billy Joe Franks Tobias Michels Dennis Wagner Philipp Liznerski ... Stephan Mandt Michael Bortz Jakob Burger Hans Hasse Marius Kloft 24 6 0 10 Mar 2023
Navigating the Metric Maze: A Taxonomy of Evaluation Metrics for Anomaly Detection in Time Series Sondre Sørbø M. Ruocco AI4TS 34 19 0 02 Mar 2023
A Preliminary Study on Pattern Reconstruction for Optimal Storage of Wearable Sensor Data Sazia Mahfuz F. Zulkernine 17 1 0 25 Feb 2023
Information Theory Inspired Pattern Analysis for Time-series Data Yushan Huang Yuchen Zhao Alexander Capstick Francesca Palermo Hamed Haddadi Payam Barnaghi AI4TS 15 1 0 22 Feb 2023
CNTS: Cooperative Network for Time Series Jinsheng Yang Yuanhai Shao Chunna Li AI4TS 16 2 0 20 Feb 2023
DTAAD: Dual Tcn-Attention Networks for Anomaly Detection in Multivariate Time Series Data Ling Yu AI4TS 28 27 0 17 Feb 2023
Unsupervised Deep Learning for IoT Time Series Ya Liu Ying Zhou Kai Yang Xiao Wang AI4TS 41 34 0 07 Feb 2023
Multivariate Time Series Anomaly Detection via Dynamic Graph Forecasting Katrina Chen M. Feng T. Wirjanto AI4TS 13 6 0 04 Feb 2023
FV-MgNet: Fully Connected V-cycle MgNet for Interpretable Time Series Forecasting Jianqing Zhu Juncai He Lian Zhang Jinchao Xu 34 3 0 02 Feb 2023
Graph Anomaly Detection in Time Series: A Survey Thi Kieu Khanh Ho Ali Karami Narges Armanfard AI4TS 34 5 0 31 Jan 2023
BSSAD: Towards A Novel Bayesian State-Space Approach for Anomaly Detection in Multivariate Time Series Usman Anjum Samuel Lin J. Zhan AI4TS 18 0 0 30 Jan 2023
Learnable Path in Neural Controlled Differential Equations Sheo Yon Jhin Minju Jo Seung-Uk Kook Noseong Park Sungpil Woo Sunhwan Lim 29 5 0 11 Jan 2023
AI Empowered Net-RCA for 6G C. Qiu Kai Yang Ji Wang Shenjie Zhao 14 2 0 01 Dec 2022
Rare Yet Popular: Evidence and Implications from Labeled Datasets for Network Anomaly Detection J. M. Navarro Alexis Huet Dario Rossi 16 0 0 18 Nov 2022
Deep Learning for Time Series Anomaly Detection: A Survey Zahra Zamanzadeh Darban G. I. Webb Shirui Pan Charu C. Aggarwal Mahsa Salehi AI4TS 42 132 0 09 Nov 2022
TFAD: A Decomposition Time Series Anomaly Detection Architecture with Time-Frequency Analysis Chaoli Zhang Tian Zhou Qingsong Wen Liang Sun AI4TS 34 66 0 18 Oct 2022
On a Uniform Causality Model for Industrial Automation Mia Krantz Alexander Windmann Rene Heesch Lukas Moddemann Oliver Niggemann CML AI4CE 18 0 0 20 Sep 2022
RUAD: unsupervised anomaly detection in HPC systems Martin Molan Andrea Borghesi Daniel Cesarini Luca Benini Andrea Bartolini 11 20 0 28 Aug 2022
Towards an Awareness of Time Series Anomaly Detection Models' Adversarial Vulnerability Shahroz Tariq B. Le Simon S. Woo AAML AI4TS 23 3 0 24 Aug 2022
An Unsupervised Short- and Long-Term Mask Representation for Multivariate Time Series Anomaly Detection Qiucheng Miao Chuanfu Xu Jun Zhan Dong Zhu Cheng-Feng Wu AI4TS 26 7 0 19 Aug 2022
Detecting Multivariate Time Series Anomalies with Zero Known Label Qihang Zhou Jiming Chen Haoyu Liu Shibo He Wenchao Meng AI4TS 32 22 0 03 Aug 2022
Robust Learning of Deep Time Series Anomaly Detection Models with Contaminated Training Data Wenkai Li Cheng Feng Tingling Chen Jun Zhu AAML AI4TS 37 6 0 03 Aug 2022
AI Augmented Edge and Fog Computing: Trends and Challenges Shreshth Tuli Fatemeh Mirhakimi Samodha Pallewatta Syed Zawad G. Casale B. Javadi Feng Yan Rajkumar Buyya N. Jennings 26 56 0 01 Aug 2022
Calibrated One-class Classification for Unsupervised Time Series Anomaly Detection Hongzuo Xu Yijie Wang Songlei Jian Qing Liao Yongjun Wang Guansong Pang AI4TS 23 40 0 25 Jul 2022
dCAM: Dimension-wise Class Activation Map for Explaining Multivariate Data Series Classification Paul Boniol M. Meftah E. Remy Themis Palpanas AI4TS 19 24 0 25 Jul 2022
Latent Space Unsupervised Semantic Segmentation Knut J. Strommen J. Tørresen Ulysse Côté-Allard AI4TS 11 3 0 22 Jul 2022
Memory-free Online Change-point Detection: A Novel Neural Network Approach Zahra Atashgahi Decebal Constantin Mocanu Raymond N. J. Veldhuis Mykola Pechenizkiy AI4TS 24 8 0 08 Jul 2022
Task-oriented Self-supervised Learning for Anomaly Detection in Electroencephalography Yaojia Zheng Zhouwu Liu Rong Mo Ziyi Chen Weiqiao Zheng Ruixuan Wang 38 10 0 04 Jul 2022
Graph-Time Convolutional Neural Networks: Architecture and Theoretical Analysis Mohammad Sabbaqi Elvin Isufi GNN AI4TS 45 14 0 30 Jun 2022
A Causal Approach to Detecting Multivariate Time-series Anomalies and Root Causes Wenzhuo Yang Kun Zhang Guosheng Lin AI4TS CML 31 9 0 30 Jun 2022
TreeDRNet:A Robust Deep Model for Long Term Time Series Forecasting Tian Zhou Jianqing Zhu Xue Wang Ziqing Ma Qingsong Wen Liang Sun Rong Jin AI4TS 46 4 0 24 Jun 2022
Improving Solar Flare Prediction by Time Series Outlier Detection Junzhi Wen Md Reazul Islam Azim Ahmadzadeh R. Angryk 28 2 0 14 Jun 2022
Defending Observation Attacks in Deep Reinforcement Learning via Detection and Denoising Zikang Xiong Joe Eappen He Zhu Suresh Jagannathan AAML 31 10 0 14 Jun 2022
Smart Meter Data Anomaly Detection using Variational Recurrent Autoencoders with Attention Wenjing Dai Xiufeng Liu A. Heller P. S. Nielsen 19 4 0 08 Jun 2022
Diminishing Empirical Risk Minimization for Unsupervised Anomaly Detection Shaoshen Wang Yanbin Liu Ling Chen Chengqi Zhang 24 0 0 29 May 2022
Self-supervised Pretraining and Transfer Learning Enable Flu and COVID-19 Predictions in Small Mobile Sensing Datasets Michael Merrill Tim Althoff AI4TS 26 14 0 26 May 2022
Self-Supervised Time Series Representation Learning via Cross Reconstruction Transformer Wen-Rang Zhang Ling Yang Shijia Geng Shenda Hong ViT AI4TS 37 42 0 20 May 2022